@article{10638517,
  author   = {Fang, Zhengyang and Zhou, Pengcheng and Xia, Jinyi and Huang, Kaibo and Yang, Zhongliang},
  journal  = {IEEE Signal Processing Letters},
  title    = {Highly Efficient DNA Steganalysis Based on Contrastive Learning Framework},
  year     = {2024},
  volume   = {31},
  number   = {},
  pages    = {2195-2199},
  keywords = {DNA;Feature extraction;Steganography;Contrastive learning;Analytical models;Vectors;Transformers;Contrastive learning;DNA steganalysis;DNA steganography},
  doi      = {10.1109/LSP.2024.3443513}
}

@inproceedings{10.1007/978-981-97-2585-4_20,
  author    = {Wang, Zhuang
               and Xia, Jinyi
               and Huang, Kaibo
               and Guo, Shengnan
               and Huang, Chenwei
               and Yang, Zhongliang
               and Zhou, Linna},
  editor    = {Ma, Bin
               and Li, Jian
               and Li, Qi},
  title     = {DNA Steganalysis Based on Multi-dimensional Feature Extraction and Fusion},
  booktitle = {Digital Forensics and Watermarking},
  year      = {2024},
  publisher = {Springer Nature Singapore},
  address   = {Singapore},
  pages     = {277--291},
  abstract  = {Steganalysis, as an adversarial technique to steganography, aims to uncover potential concealed information transmission, holding significant research implications and value in maintaining societal peace and stability. With the rapid development and application of DNA synthesis technology, an increasing number of information hiding technologies based on DNA synthesis have emerged in recent years. DNA, as a natural information carrier, boasts advantages such as high information density, robustness, and strong imperceptibility, making it a challenging target for existing steganalysis technologies to efficiently detect. This paper proposes a DNA steganalysis technique that integrates multi-dimensional features. It extracts short-distance and long-distance related features from the DNA long chain separately and then employs ensemble learning for feature fusion and discrimination. Experiments have shown that this method can effectively enhance the detection capability against the latest DNA steganography technologies. We hope that this work will contribute to inspiring more research on DNA-oriented steganography and steganalysis technologies in the future.},
  isbn      = {978-981-97-2585-4}
}